Google Search Console for lawyers: how to read your data to write the right articles

Most law firms with a website do not know what their prospects are looking for on it. They publish articles from their own internal logic, the subjects that interest them, the procedures they have mastered, the case law they feel like commenting on. And they wonder why their organic traffic stagnates despite months of editorial effort.

The problem is not the quality of the articles. The problem is the absence of data. Google Search Console is the free tool from Google that tells you exactly what people type into the search engine before landing on your site, or before failing to. It reveals the queries generating impressions, the pages Google shows in its results, the positions where you are visible, and the pages Google refuses to index.

For a law firm that wants to build a content strategy on the reality of its prospects' behaviour rather than on editorial hunches, it is the most valuable starting tool there is. And yet, in the vast majority of firms, it is never opened, badly read or under-used.

This guide explains how to read the Google Search Console data, how to turn it into a concrete editorial calendar, and how to build a legal content strategy that attracts the prospects you actually want.

Why is Google Search Console essential for a law firm in 2026?

What is Google Search Console and what does it concretely do?

Google Search Console is a free Google tool that lets any website owner see how that site appears in the search results. Unlike Google Analytics, which measures what visitors do once they are on your site, Search Console measures what happens before, at the moment someone types a query into Google and your site appears, or fails to appear, in the results.

For a law firm, Search Console provides four kinds of critical information. The queries: the exact words and phrases people typed into Google that caused your site to appear in the results. The impressions: how many times your site appeared in the results for a given query, even if the person did not click. The clicks: how many times someone clicked your site after seeing it in the results. And the positions: the average rank at which your site appears for each query.

Those four metrics, combined, give a complete map of your visibility on Google, and above all of the gap between what Google sees of you and what your prospects actually look for.

Why does the firm that uses its Search Console data take a lasting lead?

Legal content marketing is becoming a structural point of differentiation between firms. An employment law specialist who publishes articles answering precisely the questions employees and HR directors type into Google captures a qualified audience their competitors, publishing the same general guides as everyone else, never see.

The difference between a blog article that generates traffic and enquiries, and one that stays invisible, often comes down to a single thing: the alignment between the article's title and content and the exact query prospects type into Google. Search Console is the tool that lets you know those queries with a precision no editorial hunch can reproduce.

How do you read the Google Search Console data for a law firm?

How do you analyse the queries to identify what your prospects are looking for?

The "search results" section of Search Console, reachable from the left menu, is the starting point of any editorial analysis. By selecting a period of three to six months and clicking "queries", you get the full list of terms that generated impressions for your site, sorted by default by number of clicks.

The first analytical task is to sort that list by impressions (how often you appeared in Google) rather than by clicks. Queries with plenty of impressions but few clicks signal an opportunity: your site already appears in the results, but something stops people from clicking. That is usually a title or meta description problem, so a snippet optimisation problem, not a content problem.

The second task is to identify the queries with strong legal intent that generate impressions but for which you have no dedicated page or article yet. For a business law firm, queries such as "what to do if my business partner wants to sell their shares", "how to draft a shareholders' agreement" or "business sale lawyer Paris" represent direct commercial intent: the prospect has a precise need and is looking for a professional to help. If your site appears in the results for those queries without a genuinely dedicated page, you lose prospects who could have contacted you.

A criminal law firm will find in its Search Console data queries such as "police custody what to do", "immediate appearance lawyer Paris" or "challenging being placed under investigation", urgent queries with high commercial intent that deserve dedicated pages, precise and reassuring.

How do you tell informational queries apart from commercial ones?

That distinction is fundamental to prioritising article subjects. Informational queries are the ones where the person wants to understand: "how a settlement agreement works", "what is a hidden defect", "definition of workplace harassment". Those queries generate traffic, reinforce reputation and trust, but convert less directly into enquiries.

Commercial queries are the ones where the person is looking for a professional or considering an appointment: "unfair dismissal lawyer Lyon", "business law firm Paris 8", "uncontested divorce lawyer Bordeaux". Those queries generate less traffic but convert far better, because the prospect is in a decision phase.

An effective editorial strategy addresses both kinds of query. Informational articles build the firm's authority and feed the ranking on substantive subjects. Service pages and commercial content capture prospects in the decision phase. Search Console lets you identify both categories and measure precisely which ones your site is already visible on.

How do you analyse your performing pages to improve what already exists?

The second tab of the "search results" section sorts the data not by query but by page. That view is particularly useful for identifying your most visible pages on Google, not necessarily the ones receiving the most traffic, but the ones Google shows most in the results.

For each performing page, the question is twofold. First: is this page equal to the queries it generates impressions for? A 400-word article ranking on an important query will never convert as well as a 1,500-word article that genuinely treats the subject in depth. Enriching existing content, adding sections, answering related questions, structuring with H2 and H3 subheadings, is often more effective and faster than creating new articles.

Then: does this page have internal links from the other pages of the site? Internal linking is one of the most under-used SEO levers in firms. An article on "employee rights in an economic redundancy" should systematically point to the "employment law support" service page, and vice versa. That internal circulation reinforces the authority of both pages in Google's eyes.

How do you use the click-through rate to improve your titles and meta descriptions?

The click-through rate is the ratio between impressions and clicks: it measures the percentage of people who, having seen your site in the Google results, decide to click. A low rate on a page with plenty of impressions signals that your title or your meta description is not convincing.

In Search Console, filtering pages by impressions above 1,000 and sorting by ascending click-through rate reveals exactly the pages with strong untapped potential. Those are the pages where simply rewriting the title and the meta description can double or triple the traffic without producing any new content.

An effective SEO title for a legal article meets two criteria: it carries the main keyword of the target query, and it makes a clear promise of value to the reader. "Unfair dismissal: your rights and remedies in 2026" systematically beats "Unfair dismissal in French employment law" on click-through rate, because it speaks to the person searching, not to the academic classifying.

What do the average positions reveal about your editorial priorities?

A query's average position in Search Console shows the rank at which your page appears on average in the Google results. Queries positioned between 5 and 20 are the most interesting for editorial strategy: your site is already visible on those subjects, but not high enough to generate significant traffic. A targeted editorial investment on those queries, enriching the existing article, adding internal links, obtaining backlinks, can move a page from 12th to 4th position, which generally multiplies the traffic by three to five.

For a generalist property law firm, queries such as "rental deposit not returned what to do" or "hidden defects property purchase remedies" ranking on page 2 of Google represent opportunities for a quick traffic gain with moderate editorial effort. Identifying those queries in Search Console, then enriching the matching articles substantially, is one of the SEO actions with the best effort-to-result ratio.

How do you turn Search Console data into a concrete editorial strategy?

How do you build an editorial calendar based on the SEO data?

Turning Search Console data into an editorial calendar follows a logic in four steps. The first is extraction: exporting the query data over the last six months, including impressions, clicks, positions and click-through rate. The second is classification: grouping the queries by intent (informational, commercial, local) and by theme (employment law, business law, criminal law and so on).

The third is prioritisation: ranking the opportunities on two combined criteria, the volume of impressions (which measures existing interest) and the current position (which measures the effort needed to progress). Queries with high impression volume and positions between 5 and 30 are the absolute priorities. The fourth is planning: assigning each opportunity an editorial action, create a new article, enrich an existing one, optimise a title, with a date in the calendar.

Artificial intelligence speeds that process up considerably. By submitting a list of queries extracted from Search Console to Claude or ChatGPT, the model can automatically group them by intent, suggest article angles and propose detailed outlines, in minutes where that work used to take several hours.

Which mistakes do law firms make with Google Search Console?

The first mistake is never opening it. Search Console is available free to any site verified with Google, but sector studies show that fewer than 30% of website owners consult their data regularly. For law firms, where the technical management of the site is often delegated to an outside agency, that rate is lower still.

The second mistake is concentrating only on the main queries, the high-volume generic terms like "lawyer Paris" or "employment law firm", while ignoring the long tail. Long-tail queries (three to five words) often represent 70 to 80% of a specialist site's organic traffic, and they convert far better because they express a precise intent. "Lawyer dismissal for gross misconduct permanent contract manager" converts far better than "dismissal lawyer".

The third mistake is using Search Console as a global performance indicator rather than as a tool for editorial decisions. The total number of clicks or impressions says nothing about the opportunities to take. It is the fine analysis by query and by page that produces insights you can act on.

How OURAMA works with law firms on using their SEO data

OURAMA's SEO engagement for law firms always starts with a Google Search Console audit. That two to three hour audit covers the analysis of the queries generating impressions, the identification of pages with strong untapped potential, the analysis of click-through rate by page and by query, and the mapping of any indexing problems.

On that basis we build a data-driven editorial strategy: a twelve-month calendar prioritising content creation and optimisation by their traffic and conversion potential, aligned on the firm's commercial goals. Every recommended editorial action is justified by concrete Search Console data, not by hunches or generic trends.

Tracking runs through monthly dashboards that cross the Search Console data with the Google Analytics data (traffic and behaviour on the site) and the CRM data (leads and conversions), to connect every content action precisely to its commercial effects.

How will legal SEO evolve by 2030?

Generative AI is simultaneously transforming two dimensions of SEO for firms: producing content and consuming information. On the production side, AI tools already significantly reduce the time it takes to write SEO articles, provided the professional validates the accuracy of the legal information and adapts the tone. On the consumption side, Google's AI Overviews, those AI-generated summaries at the top of the results, change how people reach information and change the metrics to follow.

In that context, Search Console data will take on growing importance: it stays the most reliable source for understanding how your firm's real prospects look for information, which pages Google considers relevant in your field of expertise, and where the untapped visibility opportunities sit. Proprietary data, the kind you collect on your own site, will be increasingly precious in an environment where external signals (backlinks, social media) become less predictable.

Conclusion: SEO data is a growth lever, not a technical indicator

Google Search Console does not talk about technique, it talks about your clients. Every query in your data is the voice of a prospect looking for what you do. Every page with a strong click-through rate is proof that your message lands. Every page in position 8 with 10,000 impressions is a commercial opportunity not taken.

The editorial strategy of a law firm that leans on that data naturally converges towards the subjects that genuinely interest its prospects, not towards the subjects that interest its lawyers. That difference is what separates an invisible firm blog from a visibility machine that generates qualified enquiries every week.

The action to take this week: open Google Search Console, filter the queries over the last six months, sort by descending impressions, and identify the ten queries your site is visible on but for which you have no dedicated article yet. Those ten queries are your next editorial calendar.

We build data-driven SEO strategies for law firms, from the Google Search Console audit to producing content and tracking conversions. If you want to turn your SEO data into concrete commercial opportunities, get in touch.

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SEO FAQ: the questions law firms ask most about Google Search Console

Is Google Search Console genuinely free and available to any firm?

Yes, entirely free and available to any website. The only condition is to "verify" your site with Google, a procedure that takes five minutes through Google Search Console, by adding an HTML tag to your site's code or by connecting your Google Analytics account. Once the site is verified, the data starts accumulating and can be consulted from any browser with your Google credentials.

How often should a law firm consult Google Search Console?

A monthly review is the minimum for running a data-driven editorial strategy. That review should cover: how clicks and impressions developed over the period (a signal of overall progress or regression), the new queries emerging in the data (editorial opportunities), and the pages whose click-through rate has fallen (a signal of a title problem or of increased competition). A deeper quarterly review is recommended to recalibrate the editorial calendar against the most recent data.

How do you use Search Console data when you have no significant traffic yet?

Even with little traffic, Search Console provides valuable data from the first weeks. The "coverage" report reveals the indexing problems stopping Google from crawling your site properly, and that is often the first blockage to lift on a recent site. The "queries" report starts filling with data from the first impressions, however marginal. For a firm starting its SEO strategy, completing the (thin) Search Console data with an analysis of competitors' queries through Ahrefs or Semrush lets you build a relevant first editorial calendar quickly.

Can you use AI to analyse Search Console data more effectively?

Yes, and it is one of the most concrete applications of AI in firms' marketing. By exporting the query data from Search Console (as a CSV) and submitting it to a tool such as Claude or ChatGPT, you can automatically group the queries by intent, identify the thematic clusters (the groups of queries tied to the same issue), suggest article angles and propose structured outlines, in minutes. The professional then validates the relevance and the legal accuracy of the suggestions.

Is the average position in Search Console a reliable metric to base decisions on?

Average position is a useful metric but one to read carefully. It represents the average position of a page across all the queries it appears for, which can be skewed if the same page appears for very different queries. For a precise analysis it is better to filter by individual query and look at the position on that specific query rather than rely on a page's overall average position. The aim is to identify the individual queries where your page sits in position 5 to 20, where targeted editorial effort can quickly improve the rank.

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